Sync data from
Google BigQuery to Marketo
Connect your data from Google BigQuery to Marketo with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Google BigQuery, and 140+ destinations, like Marketo.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Marketo, and start syncing.
Model your Google BigQuery data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Google BigQuery.
Select available tables and sheets from Google BigQuery and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Google BigQuery using our visual segmentation builder.
Where can you sync your Google BigQuery data in Marketo
The Marketo Lead’s API provides a large set of capabilities for simple CRUD applications against lead records, as well as the ability to modify a lead’s membership in static lists and programs, and initiate Smart Campaign processing for leads.
Companies represent the organization to which lead records belong. Leads are added to a Company by populating their corresponding externalCompanyId field using Sync Leads or Bulk Lead Import endpoints.
Marketo exposes APIs for reading, writing, creating and updating opportunity records. In Marketo, opportunity records are linked to lead and contact records through the intermediate Opportunity Role object, so an opportunity may be linked to many individual leads.
Custom activities help you track an activity that isn’t related to a Marketo form, email, or landing page. Want to track when someone deposits a check? Use a custom activity. Want to keep tabs on when someone attends a webinar? Use a custom activity.
Static lists are one of the most simple and useful features of Marketo. They are simply a list of names from your Database. You will find plenty of reasons to use them.
Hightouch allows you to trigger campaigns through Marketo Campaign API with records in your model.
Does this integration support in-warehouse planning?
Yes, if you integerate Google BigQuery and Marketo using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Marketo). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Why is it valuable to sync Google BigQuery data to Marketo?
Lifecycle marketing platforms like Marketo are built on omnichannel experiences and multiple touch points. They allow marketers to experiment and iterate at a moment's notice. However, to build personalized experiences for your customers, you first need access to the rich behavioral data in your data warehouse.
This might include data models built around unique objects in your business like workspaces, subscriptions, playlists, or even custom audiences your data team has defined based on core metrics like items in cart, pages viewed, average order value, time spent in-app, etc.
To truly convert new users and retain existing customers, you need to build customized experiences that feel unique to each user. Usually, this includes sending custom emails, SMS messages, push notifications, or even web notifications.
For example, if you want to encourage users who abandoned their shopping cart in the last seven days to complete their purchase, you might want to send an email letting them know your stock is running low. Maybe you want to target new users with a special offer through an in-app/on-browser notification, or perhaps you simply want to send an SMS notifying your customers that their order has shipped.
Either way, the only complete 360-degree view of your customer lives in your warehouse. Your lifecycle marketing tool is only as good as the data you give it. If you want to offer the best possible experience to your customers, you need to take advantage of the data in your warehouse.
Why should you use reverse ETL to connect Google BigQuery and Marketo data?
Whenever your marketing team wants to launch a new campaign, the typical process is to request a specific data set from your data team (e.g., can you give a list of every user who's visited our pricing page over the last seven days?) One-off requests like these are frequent, and each one pulls away from high-value work your data team could be doing.
To facilitate this, your data engineers must download ad-hoc CSV files so your marketing team can upload that data into Marketo. Alternatively, your data team might build and maintain custom pipelines to consistently ingest that data into Marketo. The problem is CSV files aren't fresh, and data pipelines are prone to failure because integrating with third-party APIs is hard.
Ultimately, your marketers want to self-serve, and that's only possible with Reverse ETL. With Hightouch, you can leverage your existing data models (e.g., lifetime value, last-login date, workspaces, annual recurring revenue, etc.) in your warehouse and sync that data directly to fields in Marketo. You can schedule your syncs to run sequentially or define a set cadence (e.g., running your syncs while your marketing campaign is in progress.)
Hightouch has a visual audience builder so your marketers can self-serve and build custom audiences using the parameters your data team has set. If any of your rows fail, Hightouch will automatically retry them later in the next sync. You can easily view all of your API payload requests/responses in a live debugger, and your sync logs can be written back directly to Snowflake. Ultimately your lifecycle marketing tool is only as good as the data you give it.
Sync data about users and accounts into Marketo to build hyper-personalized campaigns
Keep your Marketo account updated with fresh data from your warehouse
Deliver a unified experience by bringing in data from other customer touchpoints into Marketo
About Google BigQuery
BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.Learn more about Google BigQuery
Marketo provides marketing automation software that helps marketers master the art & science of digital marketing to engage customers and prospects.Learn more about Marketo
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